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Leica Cyclone REGISTER 360 PLUS vs Open3D

Leica Cyclone REGISTER 360 PLUS

leica-geosystems.com

Open3D

open3d.org

Side by side

FigureLeica Cyclone REGISTER 360 PLUSOpen3D
Price from$220.83/mo—
Free plan——
Free trial——
Open source——
Web—Yes
WindowsYesYes
macOS—Yes
Linux—Yes
API—Yes
Self-hosted—Yes
Plans published20
Spec score · Point Cloud Software7.5 (#10)7.8 (#4)
Spec score · 3D Scanning Software7.4 (#20)7.7 (#16)
IntegrationsLGSx files support downstream use in Leica CloudWorx, Cyclone 3DR, and Hexagon GeoCloud.Open3D-ML works with TensorFlow and PyTorch and provides framework-independent visualization functionality.
Intended usersLeica describes the software as serving users of any skill level and presents it for point-cloud project workflows.The project describes use in published research projects and cloud deployments, and welcomes open-source contributions.
PurposeIt is post-processing software for registering, visualizing, and analyzing 3D point cloud data.Open3D is an open-source library for rapid development of software dealing with 3D data.
SupportThe product page links to Active Customer Care, Customer Care Packages, and the myWorld customer portal.Support channels include GitHub Issues, a usage forum, and Discord chat.

Plans

Leica Cyclone REGISTER 360 PLUS

  • Leica Cyclone REGISTER 360 PLUS – BLK Edition (1 year subscription)$2,650 a year
  • Leica Cyclone REGISTER 360 PLUS (1 year subscription)Price not published

Leica Cyclone REGISTER 360 PLUS pricing →

Open3D

No plans published.

Open3D pricing →

In their own words

Leica Cyclone REGISTER 360 PLUS

Leica Cyclone REGISTER 360 PLUS has no write-up on Specifiction yet; its figures are above.

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Open3D

Open3D is a free, open-source library for developing software that works with 3D data. It provides C++ and Python interfaces for data structures and processing algorithms, including scene reconstruction and surface alignment, plus physically based rendering and GPU acceleration for core operations. Open3D-ML adds tools for 3D machine-learning tasks such as semantic point-cloud segmentation, pretrained models, and training pipelines, with PyTorch and TensorFlow support. Developers can use the standalone Open3D-Viewer on Debian/Ubuntu, macOS, or Windows, or run web visualization from C++ and Python servers. Browser viewing can use WebRTC, and visualizations can be embedded in Jupyter Notebook or JupyterLab. Listed inputs include RealSense cameras, Azure Kinect, RGB-D sequences, bag files, point clouds, and meshes; export formats include XYZ, PLY, PCD, STL, OBJ, GLTF, GLB, and others. Current Python packages support Python 3.10 through 3.14 on Ubuntu 22.04+, macOS 10.15+, and 64-bit Windows 10+; other systems can use a source build. The web visualizer uses HTTP by default, so sensitive remote visualization calls for SSL configuration.

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